Fixed Income Quantitative Analyst

The Role

Lord Abbett is looking for a fixed income quantitative analyst to join a highly respected team of seasoned quants to apply, extend, and maintain our suite of proprietary tools for analyzing our investment strategies’ positioning in terms of alpha opportunities, risk factor exposures and sector/asset allocation. The team’s coverage focuses on fixed income, alternative and multi-asset class strategies. Strategies seek to add performance relative to benchmarks and peer groups.

This front-office role will interface directly with portfolio managers, having a visible impact on how portfolios are invested. This role is a great opportunity for a talented communicator with an analytical bent to impact the investment process.

• Develop alpha models and tools providing actionable recommendations which improve the risk-adjusted returns of our strategies.
• Implement proprietary analytics based on statistics, optimization, risk/return analysis, and the needs of our clients. Present your results to investments team stakeholders.
• Understand, maintain, improve, and build upon cutting-edge quantitative tools essential to the investment process.
• Participate in the development and maintenance of the firm’s proprietary infrastructure, generating daily updates of our models and analytics.
• Collaborate with software engineering and portfolio analytics to create scalable and supportable solutions for the firm.

• Advanced degree in a quantitative discipline (computer science, engineering, finance, economics, etc.). Phd or Master’s plus CFA.
• 2-5 years of industry experience in fixed income.
• Strong hands-on experience with modern programming languages such as python.
• Familiarity with programming design, testing, and debugging. A proponent of collaborative software engineering techniques and methods including code reviews, unit testing and refactoring. Knowledge of scientific data analysis methods (visualization, data cleaning, mapping identifiers and SQL). Experience with AI tools a plus.
• Experience working with financial data providers (Bloomberg, Fact Set, Morningstar, ICE, JPMorgan Data Query) is a plus.
• Passion for fixed income markets and investment management.
• Excellent communication and presentation skills, both spoken and written.

Lord Abbett is a leading global independent, privately held investment management company. We are active managers and invest where we believe we have a repeatable edge and can deliver alpha for our clients. Our vision is to be the most respected asset manager in the world, admired for our people, our performance, our relationships, and our organizational agility. This inspires the three pillars of our culture.

• Principles-Based - We empower our leaders to create an environment of trust.
• Performance-Oriented - We inspire our people to embody our values, excellence, responsibility, transparency & collaboration.
• Purpose-Driven
  -We instill a passion for always putting our clients' interests first.

We have been ranked #1 in Barron’s Best Fund Families for 2024 and have earned recognition as one of the Best Places to Work in Money Management by Pensions & Investments for five consecutive years.

Compensation Information:
Annual base salary for this role is $140,000 - $165,000. Salary is estimated for this role. Actual pay may be different.

Discretionary Bonus:

Role may be eligible to receive an annual discretionary bonus. Discretionary bonuses are determined by several factors including, but not limited to, firm, team, and individual performance.

Benefits:

Lord Abbett is committed to offering a competitive total rewards package to all eligible employees. Offerings include competitive total compensation, retirement plans, competitive health and well-being plans. To learn more about what we offer, please visit

Careers | Lord Abbett

Lord Abbett is an equal employment opportunity employer.

We are committed to providing equal employment opportunities to all qualified individuals without regard to the following legally protected characteristics: race, color, religion, sex, pregnancy, national origin, age, physical or mental disability, marital status, sexual…